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SIGMA - A Knowledge-Based Aerial Image Understanding System (Paperback, Softcover reprint of the original 1st ed. 1990)
Loot Price: R2,927
Discovery Miles 29 270
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SIGMA - A Knowledge-Based Aerial Image Understanding System (Paperback, Softcover reprint of the original 1st ed. 1990)
Series: Advances in Computer Vision and Machine Intelligence
Expected to ship within 10 - 15 working days
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It has long been a dream to realize machines with flexible visual
perception capability. Research on digital image processing by
computers was initiated about 30 years ago, and since then a wide
variety of image processing algorithms have been devised. Using
such image processing algorithms and advanced hardware
technologies, many practical ma chines with visual recognition
capability have been implemented and are used in various fields:
optical character readers and design chart readers in offices,
position-sensing and inspection systems in factories, computer
tomography and medical X-ray and microscope examination systems in
hospitals, and so on. Although these machines are useful for
specific tasks, their capabilities are limited. That is, they can
analyze only simple images which are recorded under very carefully
adjusted photographic conditions: objects to be recognized are
isolated against a uniform background and under well-controlled
artificial lighting. In the late 1970s, many image understanding
systems were de veloped to study the automatic interpretation of
complex natural scenes. They introduced artificial intelligence
techniques to represent the knowl edge about scenes and to realize
flexible control structures. The first author developed an
automatic aerial photograph interpretation system based on the
blackboard model (Naga1980). Although these systems could analyze
fairly complex scenes, their capabilities were still limited; the
types of recognizable objects were limited and various recognition
vii viii Preface errors occurred due to noise and the imperfection
of segmentation algorithms."
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